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Python courses

938 Courses

California Institute of Technology Udemy

AI Agents: Develop Autonomous AI Agents with LangGraph [NEW]

Join our latest course designed to equip you with the skills to develop high-performance, autonomous AI agents using the power of LangChain and LangGraph in Python. Enhance your expertise in software development and financial analysis, and gain a competitive edge in the field of artificial intelligence. Offered by Udemy, this course falls unde.
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California Institute of Technology CourseHorse

Power BI Intermediate (Live Online)

Join our hands-on, online instructor-led intermediate Power BI course. This course is the perfect continuation from introductory-level courses like PL-300 and Excel BI Tools for Power BI enthusiasts. Enhance your skills by mastering common intermediate tasks and exploring Power BI's new features. Prerequisites: Participants should have founda.
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California Institute of Technology Udemy

Python in 3 Hours! [+ Machine Learning & Deep Learning]

Join our intensive course and switch to Python in just three hours! Dive into the fundamentals of Machine Learning and embark on your journey by developing Deep Learning models using TensorFlow. This streamlined curriculum is perfect for beginners and those looking to upskill quickly. Learn and apply essential tools like Matplotlib, NumPy,.
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California Institute of Technology Udemy

Getting Started With Python

Embark on your programming journey with our comprehensive course, 'Getting Started With Python - Hands-On Approach,' available through Udemy. Dive into the fundamentals of Python, a versatile and powerful programming language, in an interactive learning environment. This course is meticulously designed for beginners and covers crucial concept.
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California Institute of Technology CourseHorse

Kids Python with Artificial Intelligence Camp Private (Ages 11-18) (Live Online)

Welcome to the Kids Python with Artificial Intelligence Camp, designed for ages 11-18 and conducted live online. This engaging intro program offers a comprehensive introduction to Python alongside fundamental AI concepts. Day One: - Discover the history of Python - Introduction to AI with Python - Learn about Teachable Machine - Master Pytho.
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California Institute of Technology CourseHorse

AI for Python (Live Online)

Embark on a transformative learning journey with our AI for Python (Live Online) course, designed for both beginners and those with intermediate Python skills. This hands-on course covers essential AI concepts, providing you with the expertise to integrate AI into your projects. Throughout the course, engage in a blend of theoretical unders.
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California Institute of Technology Johns Hopkins University

Foundations of Neural Networks

Foundations of Neural Networks - Specialization by Johns Hopkins University This Specialization by Johns Hopkins University, available on Coursera, is tailored for post-graduate students aiming to advance their expertise in neural networks and deep learning. The program encompasses three comprehensive courses that delve into the mathematical theo.
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California Institute of Technology CourseHorse

AI & Machine Learning Bootcamp (Live Online)

The Fullstack Academy Artificial Intelligence & Machine Learning Bootcamp is an intensive part-time program designed for current and aspiring data professionals. Over 26 weeks, you'll master both practical and theoretical machine learning concepts using industry-standard tools. Gain proficiency in Python, Keras, and TensorFlow, and qualify fo.
California Institute of Technology CourseHorse

The SheCodes Bootcamp (Self-Paced)

The SheCodes Bootcamp offers a comprehensive program for aspiring professional developers. This self-paced course is ideal for beginners eager to learn expert coding skills across the most popular programming languages and build an impressive portfolio with practical projects. Move from basic to advanced levels in HTML, CSS, and JavaScript, as y.
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California Institute of Technology CourseHorse

Data Science and Machine Learning Bootcamp (Live Online)

Prepare for a prosperous career in some of the tech industry's most lucrative fields with our intensive 16-week Data Science and Machine Learning Bootcamp, hosted live online. This comprehensive program equips you with advanced skills in Python, SQL, Looker (Google Data Studio), Streamlit, and statistics, empowering you to excel as a pro.
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Your speed of mastering the profession and success in this matter largely depends on which programming language you start learning first. How to choose it? Let's answer using a python ai course as an example.

What criteria should you use to choose your first language?

For learning to progress quickly, the programming language must have a simple syntax. It is desirable that it be high-level and flexible - then you can experiment with different options for solving the same problem.

Of course, it cannot be said that the choice of the first language always determines how successful the student’s future career path will be. But it can have a powerful impact on professional development as well as self-learning skills.

Even if we talk about spoken languages, you’ve probably heard the statement that the language a person speaks determines his thinking: “the number of languages you know, the number of times you are human.” This statement is also relevant for programming. Note that this skill is often described as an effective tool for developing thinking that teaches people to solve problems well.

When choosing the first language, the following criteria are also taken into account:

It’s difficult to name an ideal programming language to learn as a first language, but Python definitely meets most of the listed criteria, which means it can be safely recommended to beginners.

Scope of Python

Scripting languages are rapidly gaining popularity these days. They are already used to write software even more often than traditional system ones. Python is compatible with all major operating systems and platforms. You will learn this information at a python course. It is actively used in science, web development, Machine Learning, game creation, complex visual effects, and more.

Community, technical documentation

The Python language has gathered a large community of developers from all over the world who are engaged not only in its study, but also in its development. The documentation base related to Python is extensive and well-developed, so even a beginner will not have much difficulty finding answers to almost all questions that arise. He also has enough standard libraries for all occasions, and there are even more open-source repositories.

Simplicity

Because Python has a simple syntax, its code is easy to read and understand. Statements are terminated by the end of the line, and the block structure is determined by indentation.

Among the features of Python, it is worth highlighting the use of indentations that delimit blocks of code. Correct formatting is ensured by the interpreter, which prevents the creation of unreadable code. So if in other programming languages indentation is a “handwriting” and an art, then in Python it is one of the components of the syntax.

Python Strengths and Weaknesses

We have already noted above some of the advantages of a python certification course, now we propose to compare them with the disadvantages in order to objectively evaluate the language as the first one to learn.

Pluses

  1. Easy to learn.

  2. Laconic.

  3. Easy and understandable syntax.

  4. Interpretability.

  5. Wide scope of use.

  6. Demand.

  7. Dynamic typing.

  8. A large number of libraries.

  9. Lots of technical documentation and training materials.

  10. Cross-platform.

Minuses

  1. Slow program execution speed: Because dynamically typed languages execute code line by line, this makes it difficult to develop software that requires high performance. However, the programmer's productivity increases, which can be considered a kind of compensation.

  2. Programs written in Python require a lot of memory.

  3. Because there is no check during compilation, errors sometimes occur when executing the code. Because of this, very high-quality testing is required before production launch.

Conclusion

Python is a clear, easy-to-learn, universal, in-demand and promising language. Despite the presence of certain disadvantages, its advantages significantly outweigh all the disadvantages, especially when it comes to novice programmers. That's why a python online course from AI Eeducation is a great choice to start your IT career!